Harmonic Loads Classification by Means of Currents’ Physical Components
Electric load identification and classification for smart grid environment can improve the power service for both consumers and producers. The main concept of electric load identification and classification is to disaggregate various loads and categorize them. In this paper, a new practical method f...
Main Authors: | Yuval Beck, Ram Machlev |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-10-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/12/21/4137 |
Similar Items
-
Fault Detection and Severity Level Identification of Spiral Bevel Gears under Different Operating Conditions Using Artificial Intelligence Techniques
by: Syed Muhammad Tayyab, et al.
Published: (2021-08-01) -
Oppositional Gravitational Search Algorithm and Artificial Neural Network-based Classification of Kidney Images
by: Chaitanya S.M.K., et al.
Published: (2018-04-01) -
Machine Learning–based Analysis of English Lateral Allophones
by: Piotrowska Magdalena, et al.
Published: (2019-06-01) -
Comparison of PCA and 2DPCA Accuracy with K-Nearest Neighbor Classification in Face Image Recognition
by: Sri Sutarti, et al.
Published: (2019-05-01) -
An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics
by: Luca Rosafalco, et al.
Published: (2021-06-01)